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Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving., , , , , , and . FUSION, page 1866-1873. IEEE, (2018)Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets., , , , and . AVSS, page 1-6. IEEE, (2018)Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds., , , and . CoRR, (2017)Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds., , , and . WACV, page 1896-1904. IEEE, (2019)Generative Models for Novelty Detection Applications in abnormal event and situational changedetection from data series.. University of Genoa, Italy, (2019)base-search.net (ftunivgenova:oai:iris.unige.it:11567/941722).a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents., , , , , , , and . ICASSP, page 6598-6602. IEEE, (2018)Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification., , and . IEEE Trans. Neural Networks Learn. Syst., 35 (5): 6438-6451 (May 2024)Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing., , and . CoRR, (2022)A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval., , and . CoRR, (2021)Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection., , , , and . CoRR, (2016)